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4.
J Gen Intern Med ; 32(9): 966, 2017 09.
Artigo em Inglês | MEDLINE | ID: mdl-28664258
6.
Ann Emerg Med ; 58(6): 551-558.e2, 2011 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-21802775

RESUMO

STUDY OBJECTIVE: The emergency department (ED) is an inherently high-risk setting. Early death after an ED evaluation is a rare and devastating outcome; understanding it can potentially help improve patient care and outcomes. Using administrative data from an integrated health system, we describe characteristics and predictors of patients who experienced 7-day death after ED discharge. METHODS: Administrative data from 12 hospitals were used to identify death after discharge in adults aged 18 year or older within 7 days of ED presentation from January 1, 2007, to December 31, 2008. Patients who were nonmembers of the health system, in hospice care, or treated at out-of-network EDs were excluded. Predictors of 7-day postdischarge death were identified with multivariable logistic regression. RESULTS: The study cohort contained a total of 475,829 members, with 728,312 discharges from Kaiser Permanente Southern California EDs in 2007 and 2008. Death within 7 days of discharge occurred in 357 cases (0.05%). Increasing age, male sex, and number of preexisting comorbidities were associated with increased risk of death. The top 3 primary discharge diagnoses predictive of 7-day death after discharge included noninfectious lung disease (odds ratio [OR] 7.1; 95% confidence interval [CI] 2.9 to 17.4), renal disease (OR 5.6; 95% CI 2.2 to 14.2), and ischemic heart disease (OR 3.8; 95% CI 1.0 to 13.6). CONCLUSION: Our study suggests that 50 in 100,000 patients in the United States die within 7 days of discharge from an ED. To our knowledge, our study is the first to identify potentially "high-risk" discharge diagnoses in patients who experience a short-term death after discharge.


Assuntos
Serviço Hospitalar de Emergência/estatística & dados numéricos , Mortalidade , Alta do Paciente/estatística & dados numéricos , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , California/epidemiologia , Comorbidade , Intervalos de Confiança , Feminino , Humanos , Nefropatias/mortalidade , Modelos Logísticos , Pneumopatias/mortalidade , Masculino , Pessoa de Meia-Idade , Isquemia Miocárdica/mortalidade , Razão de Chances , Estudos Retrospectivos , Fatores de Risco , Fatores Sexuais , Adulto Jovem
7.
Ann Emerg Med ; 54(6): 769-778.e1-5, 2009 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-19766355

RESUMO

STUDY OBJECTIVE: We identify predictors of 30-day serious events after syncope in older adults. METHODS: We reviewed the medical records of older adults (age > or =60 years) who presented with syncope or near syncope to one of 3 emergency departments (EDs) between 2002 and 2005. Our primary outcome was occurrence of a predefined serious event within 30 days after ED evaluation. We used multivariable logistic regression to identify predictors of 30-day serious events. RESULTS: Of 3,727 potentially eligible patients, 2,871 (77%) met all eligibility criteria. We excluded an additional 287 patients who received a diagnosis of a serious clinical condition while in the ED. In the final study cohort (n=2,584), we identified 173 (7%) patients who experienced a 30-day serious event. High-risk predictors included age greater than 90 years, male sex, history of an arrhythmia, triage systolic blood pressure greater than 160 mm Hg, abnormal ECG result, and abnormal troponin I level. A low-risk predictor was a complaint of near syncope rather than syncope. A risk score, generated by summing high-risk predictors and subtracting the low-risk predictor, can stratify patients into low- (event rate 2.5%; 95% confidence interval [CI] 1.4% to 3.6%), intermediate- (event rate 6.3%; 95% CI 5.1% to 7.5%), and high-risk (event rate 20%; 95% CI 15% to 25%) groups. CONCLUSION: We identified predictors of 30-day serious events after syncope in adults aged 60 years and greater. A simple score was able to stratify these patients into distinct risk groups and, if externally validated, might have the potential to aid ED decisionmaking.


Assuntos
Indicadores Básicos de Saúde , Síncope/diagnóstico , Idoso , Idoso de 80 Anos ou mais , California/epidemiologia , Doenças Cardiovasculares/epidemiologia , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Prognóstico , Estudos Retrospectivos , Medição de Risco , Fatores de Risco , Síncope/epidemiologia
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